Claude Code 中文全面上手指南 is a Chinese-language learning guide for using Claude Code and combining features such as commands, memory, skills, hooks, MCP, subagents, and plugins. It is aimed at Chinese beginners and provides learning paths, examples, and compatibility guidance, while the catalogue entries package parts of that guidance as agent resources.
Borrowing it
Nothing to install: this file belongs to lhfer/claude-howto-zh-cn. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/lhfer/claude-howto-zh-cn/main/.claude/skills/self-assessment/SKILL.mdgit clone --depth 1 https://github.com/lhfer/claude-howto-zh-cnWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/lhfer/claude-howto-zh-cn/self-assessment)<a href="https://agentmods.dev/skills/lhfer/claude-howto-zh-cn/self-assessment"><img src="https://agentmods.dev/badge/skills/lhfer/claude-howto-zh-cn/self-assessment/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/lhfer/claude-howto-zh-cn/self-assessment"><img src="https://agentmods.dev/badge/skills/lhfer/claude-howto-zh-cn/self-assessment.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Agent Snooping · line 55 Skill reads from agent configuration directories (.claude/, .codex/, .gemini/). These directories may contain API keys, personal settings, and other credentials that the skill has no legitimate need to access.Fix: Remove all code or instructions that access agent configuration directories (.claude/, .codex/, .gemini/). If configuration values are needed, pass them explicitly as parameters or environment variabl
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00078 | $0.02995 |
| Opus 5 | $0.00039 | $0.01497 |
| Sonnet 5 | $0.00016 | $0.00599 |
| Haiku 4.5 | $0.00008 | $0.00299 |
Grade B, and why
self-assessment scanned grade B with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
2. `设置过 hooks` — 配置过 `~/.claude/settings.json` 里的 hooks How it starts
The opening of the file, as written. The whole thing — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.
自测与学习路径顾问（Self-Assessment & Learning Path Advisor）
这是一个完整的 Claude Code 交互式自测 skill，用来评估用户在 10 个能力域上的熟练度，并据此生成个性化学习路径。
参考文件
为节省上下文，较长的题目轮次、输出模板和按主题建议拆到了 references/：
references/deep-assessment-rounds.md：Deep Assessment 的 5 轮题目与评分映射references/output-templates.md：Quick / Deep 结果和学习路径模板references/topic-recommendations.md：按主题、按得分给出的具体学习建议
执行时先按本文件确定流程；需要展示题目、生成最终报告或补齐主题建议时，再读取对应 reference。不要翻译或改名其中的路径、CLI flags、frontmatter key、JSON/YAML key。
使用说明
Step 1: 先让用户选择评估模式
使用 AskUserQuestion 提供两个选项：
- Quick Assessment：用 2 道多选题检查 8 个能力项，约 2 分钟，用于快速判断 Beginner / Intermediate / Advanced
- Deep Assessment：5 轮问题，约 5 分钟，用于分别评估 10 个主题的掌握情况
如果用户选择 Quick Assessment，进入 Step 2A。 如果用户选择 Deep Assessment，进入 Step 2B。
Step 2A：Quick Assessment（快速评估）
使用两个多选问题完成快速自测，每个问题最多 4 个选项。
Question 1（header: 基础）
Prompt:
第 1/2 部分：下面哪些 Claude Code 基础能力你已经具备？
Options:
启动 Claude Code 并对话— 我会运行claude并进入对话创建或编辑 CLAUDE.md— 我配置过项目或个人 memory使用过 3 个以上 slash commands— 例如/help、/compact、/model创建过 command 或 skill— 写过SKILL.md或.claude/commands/
Question 2（header: 进阶）
Prompt:
第 2/2 部分：下面哪些 Claude Code 进阶能力你已经具备？
Options:
配置过 MCP server— 配置过 GitHub、数据库或其他外部数据源设置过 hooks— 配置过~/.claude/settings.json里的 hooks创建或使用过 subagents— 使用过.claude/agents/使用过 print mode（claude -p）— 用过非交互模式或 CI/CD 集成
Quick 模式评分：
- 0-2 项：Level 1 — Beginner
- 3-5 项：Level 2 — Intermediate
- 6-8 项：Level 3 — Advanced
进入 Step 3A 输出结果，并列出未勾选项作为短板。
Step 2B：Deep Assessment（深度评估）
Deep 模式共 5 轮，每轮 1 个多选问题，每题最多 4 个选项，每轮覆盖 2 个主题。
完整题面也见 references/deep-assessment-rounds.md。如果本文件与 reference 有冲突，以本文件里的评分规则为准。
第 1 轮：Slash Commands 与 Memory
Header: 命令
Prompt:
下面哪些操作你做过？请选择所有符合的选项。
Options:
创建过 slash command 或 skill— 写过带 frontmatter 的SKILL.md或.claude/commands/文件在 command 中使用过动态上下文— 用过$ARGUMENTS、$0/$1、!command、@file同时配置过项目和个人 memory— 同时配置过项目级和个人级CLAUDE.md使用过 memory 层级功能— 理解层级优先级、用过.claude/rules/、path-specific rules 或@import
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 13d ago First seen · 293 lines · 78 tokens per session scan B 0d926df906cb
self-assessment is a skill published in the GitHub repository lhfer/claude-howto-zh-cn (2,294 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 2,995 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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